62 lines
1.6 KiB
Python
62 lines
1.6 KiB
Python
import contextlib
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import tempfile
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import torch
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from . import check_error, cudart
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__all__ = ["init", "start", "stop", "profile"]
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DEFAULT_FLAGS = [
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"gpustarttimestamp",
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"gpuendtimestamp",
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"gridsize3d",
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"threadblocksize",
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"streamid",
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"enableonstart 0",
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"conckerneltrace",
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]
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def init(output_file, flags=None, output_mode="key_value"):
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rt = cudart()
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if not hasattr(rt, "cudaOutputMode"):
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raise AssertionError("HIP does not support profiler initialization!")
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if (
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hasattr(torch.version, "cuda")
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and torch.version.cuda is not None
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and int(torch.version.cuda.split(".")[0]) >= 12
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):
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# Check https://github.com/pytorch/pytorch/pull/91118
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# cudaProfilerInitialize is no longer needed after CUDA 12
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raise AssertionError("CUDA12+ does not need profiler initialization!")
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flags = DEFAULT_FLAGS if flags is None else flags
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if output_mode == "key_value":
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output_mode_enum = rt.cudaOutputMode.KeyValuePair
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elif output_mode == "csv":
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output_mode_enum = rt.cudaOutputMode.CSV
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else:
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raise RuntimeError(
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"supported CUDA profiler output modes are: key_value and csv"
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)
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with tempfile.NamedTemporaryFile(delete=True) as f:
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f.write(b"\n".join(f.encode("ascii") for f in flags))
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f.flush()
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check_error(rt.cudaProfilerInitialize(f.name, output_file, output_mode_enum))
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def start():
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check_error(cudart().cudaProfilerStart())
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def stop():
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check_error(cudart().cudaProfilerStop())
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@contextlib.contextmanager
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def profile():
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try:
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start()
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yield
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finally:
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stop()
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